مقایسهٔ روش‌ها

	توسعه فازی مردد دوگانه VIKOR	فرایند سلسله مراتبی تحلیلی	فرایند شبکه‌ای تحلیلی (AHP با بازخورد و وابستگی‌های متقابل)	روش بهترین-بدترین بیزی
حوزه	تصمیم‌گیری	تصمیم‌گیری	تصمیم‌گیری	تصمیم‌گیری
خانواده	MCDM	MCDM	MCDM	MCDM
سال پیدایش	2025	1980	1996	2020
پدیدآور	An, J., Zhang, X., Liu, L., Zuo, W.	Saaty, T. L.	Saaty, T. L.	Mohammadi, M., Rezaei, J.
نوع	Dual Hesitant outranking/ranking — Dual Hesitant Fuzzy Element (DHFE: h(x) membership set, g(x) non-membership set)	Pairwise comparison (eigenvalue)	Weight_Subjective (pairwise comparison, supermatrix, network structure)	Hierarchical Dirichlet posterior over weights via MCMC (JAGS) — group decision
منبع بنیادین	An, J., Zhang, X., Liu, L., Zuo, W. (2025). A dual hesitation fuzzy VIKOR method with incomplete attribute weights for property service quality evaluation. International Journal of Strategic Property Management	Saaty, T. L. (1980). The Analytic Hierarchy Process: Planning, Priority Setting, Resource Allocation. McGraw-Hill, New York ISBN: 978-0070543713	Saaty, T. L. (1996). Decision Making with Dependence and Feedback: The Analytic Network Process. RWS Publications, Pittsburgh ISBN: 0-9620317-9-8	Mohammadi, M., Rezaei, J. (2020). Bayesian best-worst method: A probabilistic group decision making model. Omega
نام‌های دیگر	—	—	—	—
مرتبط	8	8	8	8
خلاصه	DHF-VIKOR (Dual Hesitant Fuzzy extension of VIKOR) is a ranking multi-criteria decision-making (MCDM) method introduced by An, J., Zhang, X., Liu, L., Zuo, W. in 2025. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result.	AHP (Analytic Hierarchy Process) is a weight subjective multi-criteria decision-making (MCDM) method introduced by Saaty, T. L. in 1980. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result.	ANP (Analytic Network Process (AHP with feedback and interdependences)) is a weight subjective multi-criteria decision-making (MCDM) method introduced by Saaty, T. L. in 1996. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result.	BWM-BAYESIAN (Bayesian BWM — Probabilistic Group Best-Worst Method) is a weight subjective multi-criteria decision-making (MCDM) method introduced by Mohammadi, M., Rezaei, J. in 2020. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result.